Semantic relation analysis and its application in cognitive profiling

Taiyu Lin, Kinshuk, Sabine Graf

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

1 Citation (Scopus)

Abstract

Semantic web is an emerging paradigm that has great potential for the management of web content in a meaningful manner. With more and more semantic information appended to web, the web logs can be used to find valuable information about users. Their preferences, characteristics, cognitive capacity, or goals can be interpreted from the patterns of relations between traversed web nodes. A novel approach called semantic relation analysis (SRA) is proposed in this paper to harvest the new opportunities created by semantic web. In this paper, literature about navigational pattern analysis is presented. Example of using SRA in a learning system is also given. Empirical study about SRA showed promising results.

Original languageEnglish
Title of host publicationProceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007
Pages683-685
Number of pages3
DOIs
Publication statusPublished - 2007
Event7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007 - Niigata, Japan
Duration: 18 Jul. 200720 Jul. 2007

Publication series

NameProceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007

Conference

Conference7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007
Country/TerritoryJapan
CityNiigata
Period18/07/0720/07/07

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